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The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model

BACKGROUND: Androgens bind to the androgen receptor (AR) in prostate cells and are essential survival factors for healthy prostate epithelium. Most untreated prostate cancers retain some dependence upon the AR and respond, at least transiently, to androgen ablation therapy. However, the relationship...

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Autores principales: Eikenberry, Steffen E, Nagy, John D, Kuang, Yang
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885348/
https://www.ncbi.nlm.nih.gov/pubmed/20406442
http://dx.doi.org/10.1186/1745-6150-5-24
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author Eikenberry, Steffen E
Nagy, John D
Kuang, Yang
author_facet Eikenberry, Steffen E
Nagy, John D
Kuang, Yang
author_sort Eikenberry, Steffen E
collection PubMed
description BACKGROUND: Androgens bind to the androgen receptor (AR) in prostate cells and are essential survival factors for healthy prostate epithelium. Most untreated prostate cancers retain some dependence upon the AR and respond, at least transiently, to androgen ablation therapy. However, the relationship between endogenous androgen levels and cancer etiology is unclear. High levels of androgens have traditionally been viewed as driving abnormal proliferation leading to cancer, but it has also been suggested that low levels of androgen could induce selective pressure for abnormal cells. We formulate a mathematical model of androgen regulated prostate growth to study the effects of abnormal androgen levels on selection for pre-malignant phenotypes in early prostate cancer development. RESULTS: We find that cell turnover rate increases with decreasing androgen levels, which may increase the rate of mutation and malignant evolution. We model the evolution of a heterogeneous prostate cell population using a continuous state-transition model. Using this model we study selection for AR expression under different androgen levels and find that low androgen environments, caused either by low serum testosterone or by reduced 5α-reductase activity, select more strongly for elevated AR expression than do normal environments. High androgen actually slightly reduces selective pressure for AR upregulation. Moreover, our results suggest that an aberrant androgen environment may delay progression to a malignant phenotype, but result in a more dangerous cancer should one arise. CONCLUSIONS: The model represents a useful initial framework for understanding the role of androgens in prostate cancer etiology, and it suggests that low androgen levels can increase selection for phenotypes resistant to hormonal therapy that may also be more aggressive. Moreover, clinical treatment with 5α-reductase inhibitors such as finasteride may increase the incidence of therapy resistant cancers. REVIEWERS: This article was reviewed by Ariosto S. Silva (nominated by Marek Kimmel) and Marek Kimmel.
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spelling pubmed-28853482010-06-15 The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model Eikenberry, Steffen E Nagy, John D Kuang, Yang Biol Direct Research BACKGROUND: Androgens bind to the androgen receptor (AR) in prostate cells and are essential survival factors for healthy prostate epithelium. Most untreated prostate cancers retain some dependence upon the AR and respond, at least transiently, to androgen ablation therapy. However, the relationship between endogenous androgen levels and cancer etiology is unclear. High levels of androgens have traditionally been viewed as driving abnormal proliferation leading to cancer, but it has also been suggested that low levels of androgen could induce selective pressure for abnormal cells. We formulate a mathematical model of androgen regulated prostate growth to study the effects of abnormal androgen levels on selection for pre-malignant phenotypes in early prostate cancer development. RESULTS: We find that cell turnover rate increases with decreasing androgen levels, which may increase the rate of mutation and malignant evolution. We model the evolution of a heterogeneous prostate cell population using a continuous state-transition model. Using this model we study selection for AR expression under different androgen levels and find that low androgen environments, caused either by low serum testosterone or by reduced 5α-reductase activity, select more strongly for elevated AR expression than do normal environments. High androgen actually slightly reduces selective pressure for AR upregulation. Moreover, our results suggest that an aberrant androgen environment may delay progression to a malignant phenotype, but result in a more dangerous cancer should one arise. CONCLUSIONS: The model represents a useful initial framework for understanding the role of androgens in prostate cancer etiology, and it suggests that low androgen levels can increase selection for phenotypes resistant to hormonal therapy that may also be more aggressive. Moreover, clinical treatment with 5α-reductase inhibitors such as finasteride may increase the incidence of therapy resistant cancers. REVIEWERS: This article was reviewed by Ariosto S. Silva (nominated by Marek Kimmel) and Marek Kimmel. BioMed Central 2010-04-20 /pmc/articles/PMC2885348/ /pubmed/20406442 http://dx.doi.org/10.1186/1745-6150-5-24 Text en Copyright ©2010 Eikenberry et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Eikenberry, Steffen E
Nagy, John D
Kuang, Yang
The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
title The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
title_full The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
title_fullStr The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
title_full_unstemmed The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
title_short The evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
title_sort evolutionary impact of androgen levels on prostate cancer in a multi-scale mathematical model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885348/
https://www.ncbi.nlm.nih.gov/pubmed/20406442
http://dx.doi.org/10.1186/1745-6150-5-24
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